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botasaurusvshrequests

MIT 52 5 4,321
35.5 thousand (month) Oct 01 2023 4.0.97(2026-01-06 07:45:54 ago)
1,001 1 51 MIT
Feb 23 2022 33.3 thousand (month) 0.9.2(2024-12-01 02:55:27 ago)

Botasaurus is an all-in-one Python web scraping framework that combines browser automation, anti-detection, and scaling features into a single package. It aims to simplify the entire web scraping workflow from development to deployment.

Key features include:

  • Anti-detect browser Ships with a stealth-patched browser that passes common bot detection tests. Automatically handles fingerprinting, user agent rotation, and other anti-detection measures.
  • Decorator-based API Uses Python decorators (@browser, @request) to define scraping tasks, making code clean and easy to organize.
  • Built-in parallelism Easy parallel execution of scraping tasks across multiple browser instances with configurable concurrency.
  • Caching Built-in caching layer to avoid re-scraping pages during development and debugging.
  • Profile persistence Can save and reuse browser profiles (cookies, localStorage) across scraping sessions for maintaining login state.
  • Output handling Automatic output to JSON, CSV, or custom formats with built-in data filtering.
  • Web dashboard Includes a web UI for monitoring scraping progress, viewing results, and managing tasks.

Botasaurus is designed for developers who want a batteries-included framework that handles anti-detection automatically, without needing to manually configure stealth settings or manage browser fingerprints.

hrequests is a feature rich modern replacement for a famous requests library for Python. It provides a feature rich HTTP client capable of resisting popular scraper identification techniques: - Seamless transition between headless browser and http client based requests - Integrated HTML parser - Mimicking of real browser TLS fingerprints - Javascript rendering - HTTP2 support - Realistic browser headers

Highlights


anti-detectstealthlarge-scale
bypasshttp2tls-fingerprinthttp-fingerprintsyncasync

Example Use


```python from botasaurus.browser import browser, Driver from botasaurus.request import request, Request # Browser-based scraping with anti-detection @browser(parallel=3, cache=True) def scrape_products(driver: Driver, url: str): driver.get(url) # Wait for content to load driver.wait_for_element(".product-list") # Extract product data products = [] for el in driver.select_all(".product-card"): products.append({ "name": el.select(".product-name").text, "price": el.select(".product-price").text, "url": el.select("a").get_attribute("href"), }) return products # HTTP-based scraping (no browser needed) @request(parallel=5, cache=True) def scrape_api(req: Request, url: str): response = req.get(url) return response.json() # Run the scraper results = scrape_products( ["https://example.com/page/1", "https://example.com/page/2"] ) ```
hrequests has almost identical API and UX as requests and here's a quick overview: ```python import hrequests # perform HTTP client requests resp = hrequests.get('https://httpbin.org/html') print(resp.status_code) # 200 # use headless browsers and sessions: session = hrequests.Session('chrome', version=122, os="mac") # supports asyncio and easy concurrency requests = [ hrequests.async_get('https://www.google.com/', browser='firefox'), hrequests.async_get('https://www.duckduckgo.com/'), hrequests.async_get('https://www.yahoo.com/'), hrequests.async_get('https://www.httpbin.org/'), ] responses = hrequests.map(requests, size=3) # max 3 conccurency ```

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